East Carolina at UTSA Week 9 College Football Matchup East Carolina at UTSA Matchup - Week 9
Sat, Oct 28 2023 · Week 9 · 🏟 Alamodome San Antonio, TX · Turf · 65,000 cap
East Carolina✈ 1,299 mi-1 hr TZ
27 41
Final
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📊 Punt & Rally Projection
East Carolina
16
UTSA
33
P&R Line UTSA -17
P&R Total O/U 48.5
Confidence 90 High
Vegas UT San Antonio -17.5 · O/U 48.0
Matchup Prediction
UTSA has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor UTSA entering this game.
Momentum Control
58.4%
UTSA wins
Lean
Game Control
67.1%
UTSA wins
Solid
Vegas Spread
UT San Antonio -17.5
O/U 48.0
William Hill (New Jersey)
Advanced Stats
All 4 factors agree → UTSA · 83.1% ATS historically when all four align
↓ See full breakdown
East Carolina 2023 Schedule
East Carolina's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2East Carolina at Michigan+36.0L3–3053.5L3–30UY
Sat 9/9East Carolina vs Marshall+3.0L13–3143.5L13–31ON
Sat 9/16East Carolina at App State+7.5L28–4348.5L28–43ON
Sat 9/23East Carolina vs Gardner-Webb-13.0W44–051.0W44–0UY
Sat 9/30East Carolina at Rice+3.5L17–2447.0L17–24UN
— Bye Week —
Thu 10/12East Carolina vs SMU+11.5L10–3148.5L10–31UN
Sat 10/21East Carolina vs Charlotte-6.0L7–1039.5L7–10UN
Sat 10/28East Carolina at UTSA+17.5L27–4148.0L27–41OY
Sat 11/4East Carolina vs Tulane+17.0L10–1346.0L10–13UY
Sat 11/11East Carolina at Florida Atlantic+7.5W22–744.5W22–7UY
Sat 11/18East Carolina at Navy+2.5L0–1030.5L0–10UN
Sat 11/25East Carolina vs Tulsa-4.5L27–2944.5L27–29ON
UTSA 2023 Schedule
UTSA's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2UTSA at Houston-2.5L14–1759.5L14–17UN
Sat 9/9UTSA vs Texas State-13.5W20–1366.5W20–13UN
Fri 9/15UTSA vs Army-7.0L29–3742.0L29–37ON
Sat 9/23UTSA at Tennessee+24.0L14–4559.0L14–45UN
— Bye Week —
Sat 10/7UTSA at Temple-14.0W49–3456.0W49–34OY
Sat 10/14UTSA vs UAB-9.0W41–2067.0W41–20UY
Sat 10/21UTSA at Florida Atlantic-2.5W36–1058.5W36–10UY
Sat 10/28UTSA vs East Carolina-17.5W41–2748.0W41–27ON
Sat 11/4UTSA at North Texas-7.5W37–2971.0W37–29UY
Sat 11/11UTSA vs Rice-13.5W34–1453.5W34–14UY
Fri 11/17UTSA vs South Florida-14.5W49–2165.5W49–21OY
Fri 11/24UTSA at Tulane+2.5L16–2951.5L16–29UN
Tue 12/19UTSA vs Marshall-7.0W35–1747.0W35–17OY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2023 season
UTSA PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ UTSA
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ UTSA
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ UTSA
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
East Carolina #132
+0.157
UTSA #45
+0.374
UTSA Edge
PPA Passing
Pass efficiency edge · Strong predictor
East Carolina #129
+0.276
UTSA #58
+0.635
UTSA Edge
Havoc Total
Def. disruption rate · Strong predictor
East Carolina #11
0.198
UTSA #10
0.203
TFLs, sacks, PBUs, forced fumbles — higher is better
UTSA Edge
Points Per Opp
Drive-finishing edge · Strong predictor
East Carolina #129
+6.393
UTSA #24
+7.298
UTSA Edge
Success Rate
Play consistency edge · Solid predictor
East Carolina #132
+0.707
UTSA #66
+0.765
UTSA Edge
Field Position
Avg start (lower=better) · Solid predictor
East Carolina #36
69.4
UTSA #85
71.0
Avg yards from own endzone to average start — lower is better · longer bar = better field position
East Carolina Edge
Advanced stats sourced from CFBD · 2023 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
East Carolina Rated Higher
Overall Power Rating
East Carolina
1.4
UTSA
0.7
Offense Rating
East Carolina
15.8
UTSA
16.4
Defense Rating (lower = better defense)
East Carolina
14.4
UTSA
15.7
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? UTSA Edge
Avg sequences created per game
East Carolina #116
0.33
UTSA #59
0.86
Avg sequences allowed per game (lower is better)
East Carolina #97
1.50
UTSA #74
0.86
UTSA +0.52
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 7 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? UTSA Edge
Avg GC score per game (offense)
East Carolina #1
26.2
UTSA #1
45.0
Avg GC score allowed per game (lower is better)
East Carolina #108
55.9
UTSA #38
39.7
UTSA +18.8
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 7 games this season
Actual Result
CSS Battle
UTSA
1 — 0 sequences
✓ Predicted correctly
GC Battle
UTSA
73.6 — 9.4 GC score
✓ Predicted correctly
Game Result
UTSA won by 14
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on UTSA with a solid GC edge. Teams with this profile have covered 53.0% of the time historically (n=330) — a mild lean.

ATS data is informational only. Past cover rates do not guarantee future results.

Coaching Matchup
East Carolina
Mike Houston #1
22–27 (45%) · Yr 5 at school
OC Donnie Kirkpatrick Yr 3 #1
DC Blake Harrell Yr 3 #1
Staff Rating
0.00 #1
UTSA
Jeff Traylor #1
31–12 (72%) · Yr 4 at school
OC Justin Burke Yr 1 #1
DC Jess Loepp Yr 2 #1
Staff Rating
0.00 #1
About these metrics
Advanced Stats shows matchup-adjusted factor edges (offense vs opponent defense). Combination signals — when PPA, PPO, Success Rate, and Havoc all point the same direction — have historically predicted the SU winner in 95–97% of games and the ATS winner in 82–83% of games (2021–2025, FBS vs FBS, regular season).
Impact: Advanced Stats are the best performance based metric used to predict the outcome of games.

Momentum Control (CSS) measures consecutive scoring sequences — when a team scores, holds the opponent scoreless, then scores again. Teams entering a game with a CSS edge of +1.0 or more have won 71–78% of games historically (2021–2025, FBS vs FBS).
Impact: Momentum Control is a great measure for predicting game outcome but NOT an ATS advantage, data shows this is already considered when lines are set.

Game Control (GC) measures win probability dominance — how thoroughly a team controlled the game from start to finish. Teams with a GC edge of +12 or more have won 67–76% of games historically. When both metrics agree, combined confidence is higher. When they split, treat as a lean at best.
Impact: Game Control is another great measure for predicting game outcome but NOT an ATS advantage, data shows this is already considered when lines are set.

Power Ratings are a custom-built composite of a Teams Talent, Experience & Production, Coaching & Performance Metrics. These are updated constantly with roster changes, performance once the games start for the 2026 season, injuries the team is dealing with and scheduling situations.
Impact: There are a wide range of power ratings available, we think ours is the best, you can decide for yourself